LLM-Powered AI Application Engineer

PartsSource Inc.

Hudson (OH)

On-site

USD 90,000 - 120,000

Full time

14 days+

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Benefits offered by this job

Competitive compensation package
Career development opportunities
Hybrid culture with flexible workspaces
Inclusive and diverse community

Job summary

A leading healthcare technology platform in Hudson, Ohio is looking for an AI Application Engineer to design, develop, and deploy applications using Large Language Models (LLMs). The ideal candidate will employ software engineering best practices to create intelligent, user-centric solutions. Responsibilities include developing complex LLM workflows and collaborating with cross-functional teams to ensure alignment with business objectives. A Bachelor's degree in Computer Science or equivalent experience is required. This role offers competitive compensation and opportunities for professional growth.

Qualifications

  • Proven experience in software engineering, including deploying production-grade applications.
  • Strong understanding of data-driven development and AI model optimization.
  • Excellent problem-solving skills in a fast-paced environment.

Responsibilities

  • Design and implement applications integrating LLMs.
  • Develop LLM workflows for agentic systems.
  • Collaborate with cross-functional teams on AI solutions.

Skills

AI application development
Software engineering best practices
Problem-solving
Collaboration

Education

Bachelor’s degree in Computer Science

Tools

Genkit
Firebase
TypeScript
Google Cloud Platform
Docker
Kubernetes

Job description

A leading healthcare technology platform in Hudson, Ohio is looking for an AI Application Engineer to design, develop, and deploy applications using Large Language Models (LLMs). The ideal candidate will employ software engineering best practices to create intelligent, user-centric solutions. Responsibilities include developing complex LLM workflows and collaborating with cross-functional teams to ensure alignment with business objectives. A Bachelor's degree in Computer Science or equivalent experience is required. This role offers competitive compensation and opportunities for professional growth.
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